code: def test_get_parameters3(self):
      pseudo_counts = 0.1
      cpds = set(
          [
              self.est3.estimate_cpd(
                  "A",
                  prior_type="dirichlet",
                  pseudo_counts=pseudo_counts,
              ),
              self.est3.estimate_cpd(
                  "B",
                  prior_type="dirichlet",
                  pseudo_counts=pseudo_counts,
              ),
              self.est3.estimate_cpd(
                  "C",
                  prior_type="dirichlet",
                  pseudo_counts=pseudo_counts,
              ),
          ]
      )
      self.assertSetEqual(
          set(
              self.est3.get_parameters(
                  prior_type="dirichlet",
                  pseudo_counts=pseudo_counts,
                  n_jobs=1,
              )
          ),
          cpds,
      )
  
imports: import unittest
  import numpy
  import pandas
  from joblib.externals.loky import get_reusable_executor
  from pgmpy import config
  from pgmpy.estimators import BayesianEstimator
  from pgmpy.factors.discrete import TabularCPD
  from pgmpy.models import BayesianNetwork
label_desc: Use image node_id 8 for calling the TestBayesianEstimator obj's underlying member method code with example usage: obj.test_get_parameters3() without return types